Premium Project

Identifying Customers Likely to Churn for a Telecommunications Provider

For this project, you’ll act as a data analyst for a telecommunications company. You’ll use Excel to explore customer data and build profiles of those likely to churn, applying statistics, PivotTables and charts.

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4.8 (359 reviews)
366,013 learners enrolled in this project
  • Beginner
  • Guided project
  • 10 steps
  • Excel
Joel Ampong

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Joel Ampong

Data Scientist

Identifying Customers Likely to Churn for a Telecommunications Provider

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Project overview

In this project, you’ll take on the role of a data analyst at a telecommunications company. Your challenge is to explore customer data in Excel to identify profiles of those likely to churn. Retaining customers is crucial for telecom providers, so your insights will help inform proactive retention efforts.

You’ll conduct exploratory data analysis, calculating key statistics, building PivotTables to slice the data, and creating charts to visualize your findings. This project provides hands-on experience with core Excel skills for data-driven business decisions that will enhance your analyst portfolio.

Objective: Analyze telecommunications customer data in Excel to profile churn risks and provide an actionable insights report.

Key skill required

To complete this project, it's recommended to build these foundational skills in Excel

  • Calculating descriptive statistics in Excel
  • Analyzing data with descriptive statistics
  • Creating PivotTables in Excel to explore and analyze data
  • Visualizing data with histograms and boxplots in Excel

Projects steps

Step 1: Introduction

Step 2: Churn Rate

Step 3: Initial EDA

Step 4: Exploring Data Grouped by State and Churn

Step 5: Exploring Data Grouped by voice_mail_plan and churn

Step 6: Analyzing Frequency Distributions

Step 7: Visualizing Data Grouped by State and Churn

Step 8: Exploring and Visualizing Data Grouped by Churn

Step 9: Final Report

Step 10: Next Steps

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